Intro and demo to RAG with Azure OpenAI

[@gznqtl]

I am enrolling in your Udemy course, this is exactly what I am looking for a project to create RAG with my company documents. Thank you a lot!

[@thomaswinter88]

Finally a demo that works. Thanks Houssem.

[@antonhokkonen7578]

Great video, Houssem! One of the best tutorial on that topic!

[@mikael-pz4oz]

very good and fresh summary - very good starting point with detaisl implementaiton details

[@kislaya7239]

Can you plese confirm if this is equivalent to AWS Bedrock now? Bedrock also provides inbuilt functionality to apply chunking from a list of chunking methods, porcessing document using multi-model if data has tables and images etc. All that is part of AWS Bedrock Knowledge base functionality now.

[@Renz_Online]

Nice! Do you have a reference for RAG that uses Azure Cosmos DB for MongoDB (vCore)?

[@gezquerra]

Thank you, very good demo!

[@mariastein100]

Thanks a lot! Really got content in short time! Do you have mor information on which toolset can be used to simplify the data loading process or how to load document types such as pdf in a simple way?

[@spacecowboydev]

Im having trouble accessing extra body/dataSources on the javascript client. Any ideas why? It says the extra param does not exist.

[@kphifer]

What will your new course cover?

[@RicardoJosue]

Do you have a course for that?

[@TheKorimilli]

Good job !

[@kphifer]

Thank you!

[@JanaM-z2k]

Hi, how can I use that if I do not have only markdown files?